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Main menu for Browse IS/STAG
Course info
KSS / ASDY
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Course description
Department/Unit / Abbreviation
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KSS
/
ASDY
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Analysis of Sociological Data
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Form of course completion
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Exam
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Form of course completion
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Exam
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Accredited / Credits
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Yes,
7
Cred.
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Type of completion
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Combined
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Type of completion
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Combined
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Time requirements
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Tutorial
4
[Hours/Week]
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Course credit prior to examination
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Yes
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Course credit prior to examination
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Yes
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Included in study average
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YES
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Language of instruction
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Czech
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Occ/max
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Summer semester
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0 / -
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0 / -
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0 / -
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Included in study average
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YES
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Winter semester
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0 / -
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0 / -
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0 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Winter semester
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Semester taught
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Winter semester
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Minimum (B + C) students
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10
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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Czech
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
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Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
Yes
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Fundamental theoretical course |
No
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Evaluation scale |
1|2|3|4 |
Evaluation scale for credit before examination |
S|N |
Substituted course
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None
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Preclusive courses
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KSS/ASD
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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N/A
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Histogram of students' grades over the years:
Graphic PNG
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XLS
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Course objectives:
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In this practically oriented course students learn how to analyse quantitative data while they also become familiar with particular phases of a research, so they would be prepared for an independent empirical work. During the semester students have to manage work with a statistical software - from creating the data matrix and saving it to making the univariant and bivariant analysis. The course prepares students for writing an emipirical Bachelor or Master dissertation.
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Requirements on student
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practical data analysis, research report
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Content
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1-2. types and sources of data
3-4. tabular data
5-6. association
7-8. statistical software
9-10. interpretation of data
11-12. research report
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Activities
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Fields of study
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Guarantors and lecturers
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Literature
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Basic:
Acock, Alan C. A gentle introduction to STATA. College Station : Stata Press, 2006. ISBN 1-59718-009-2.
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Basic:
Becker, Howard Saul. Writing for social scientists : how to start and finish your thesis, book, or article. Chicago : University of Chicago Press, 1986. ISBN 0-226-04108-5.
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Recommended:
Fox, John. Applied regression analysis, linear models, and related methods. Thousand Oaks : SAGE Publications, 1997. ISBN 0-8039-4540-X.
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Recommended:
Konopásek, Z. Co si počít s počítačem v kvalitativním výzkumu: program ATLAS/ti v akci. Biograf 12. pp. 71-110., 1997.
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Recommended:
Kohler, Ulrich, Kreuter, Frauke. Data analysis using STATA. College Station: STATA Press., 2005.
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Recommended:
Hamilton, L. C. Statistics with STATA. Belmont. Brooks-Cole, 2004.
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Recommended:
Muhr, T. User's Manual for ATLAS.ti 5.0. (2nd Edition). Berlin. Scientific Software Development., 2004.
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On-line library catalogues
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Contact hours
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52
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Preparation for an examination (30-60)
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50
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Undergraduate study programme term essay (20-40)
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40
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Preparation for comprehensive test (10-40)
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40
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Total
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182
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
Good working knowledge of English. Basic exposure to statistics (KSA/AAV, KSA/AAV1, KSS/ZZD). Intermediate knowledge of the methods of data collection: KSS/MV1 or KSA/MTV1.
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
choose an appropriate data analytic method create a simple bi-variate table/graph process data in a software environment interpret obtained results write a short research report |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Practical exam |
Combined exam |
Skills demonstration during practicum |
Continuous assessment |
Project |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Practicum |
Task-based study method |
Skills demonstration |
Project-based instruction |
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